[None][feat] add trtllm-gen kernels for glm4.7 and support groupsTokensHeadsQ + e2m1 output by PerkzZheng · Pull Request #11643 · NVIDIA/TensorRT-LLM

PerkzZheng · 2026-02-23T07:49:34Z

Summary by CodeRabbit

Chores
- Updated binary kernel references and precompiled CUDA kernel pointers.
- Added new precompiled kernel files with Git LFS references.

Description

The GLM-4.7-fast model requires separateQkv + headDim 256 context kernels on blackwell.
This MR support groupsTokensHeadsQ + e2m1 output, which has better performance with large batch size + spec-decoding.

Test Coverage

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PerkzZheng · 2026-02-23T07:50:59Z

/bot run

coderabbitai · 2026-02-23T07:53:38Z

📝 Walkthrough

Walkthrough

This pull request updates Git LFS pointer metadata for hundreds of precompiled CUDA kernel binary files in the TensorRT-LLM FMHA kernels directory. All changes involve updating object IDs (OIDs) in LFS pointers while maintaining consistent file sizes, with no functional code modifications.

Changes

Cohort / File(s)	Summary
FMHA Sm100a Kernel LFS Pointers `cpp/tensorrt_llm/kernels/trtllmGenKernels/fmha/cubin/FmhaSm100aKernel_*_cubin.cpp`	Updated Git LFS object IDs (SHA-256 hashes) for 200+ precompiled CUDA kernels with varying configurations (different head sizes, queue depths, attention patterns, and quantization). File sizes remain unchanged; only metadata pointers updated.
FMHA Sm100f Kernel LFS Pointers `cpp/tensorrt_llm/kernels/trtllmGenKernels/fmha/cubin/FmhaSm100fKernel_*_cubin.cpp`	Updated Git LFS object IDs for 300+ precompiled CUDA kernels with different parameter sets (varying dimensions, packed/separate QKV, causal/dense/custom attention patterns). All updates are metadata-only with consistent file sizes.
New FMHA Sm100f Separate QKV Kernel Files `cpp/tensorrt_llm/kernels/trtllmGenKernels/fmha/cubin/FmhaSm100fKernel_QkvBfloat16OBfloat16H256SeparateQkv*_cubin.cpp`	Added 8 new Git LFS pointer files for H256 kernels with separate QKV configurations. New files contain standard LFS pointer metadata (version, oid, size) with no functional code content.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

Suggested reviewers

byshiue
Wanli-Jiang
zheyuf
Tracin

✨ Finishing Touches

🧪 Generate unit tests (beta)

Create PR with unit tests
Post copyable unit tests in a comment

tensorrt-cicd · 2026-02-23T07:57:13Z

PR_Github #36475 [ run ] triggered by Bot. Commit: 71272ee Link to invocation

coderabbitai

Actionable comments posted: 4

♻️ Duplicate comments (7)

cpp/tensorrt_llm/kernels/trtllmGenKernels/fmha/cubin/FmhaSm100aKernel_QE4m3KvE2m1OE4m3H128PagedKvDenseP32VarSeqQ8Kv128PersistentSwapsAbForGen_cubin.cpp (1)